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008 060601s2006 enka b 001 0 eng d
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035 _a(ATU)b14508448
035 _a(OCoLC)69672553
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050 4 _aQA276
_b.M37 2006
082 0 4 _a519.5
_222
099 _a519.5 MAR
100 1 _aMaronna, Ricardo A.,
_eauthor.
_9833754
245 1 0 _aRobust statistics :
_btheory and methods /
_cRicardo A. Maronna, R. Douglas Martin, Víctor J. Yohai.
264 1 _aChichester, England :
_bJ. Wiley,
_c[2006]
264 4 _c©2006
300 _axx, 403 pages :
_billustrations ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
490 1 _aWiley series in probability and statistics
504 _aIncludes bibliographical references and index.
505 0 _aLocation and scale -- Measuring robustness -- Linear regression 1 -- Linear regression 2 -- Multivariate analysis -- Generalized linear models -- Time series -- Numerical algorithms -- Asymptotic theory of M-estimates -- Robust methods in S-plus -- Description of data sets.
520 1 _a"Robust statistics sets out to explain the use of robust methods and their theoretical justification. It provides an up-to-date overview of the theory and practical application of robust statistical methods in regression, multivariate analysis, generalized linear models and time series." "Robust Statistics aims to stimulate the use of robust methods as a powerful tool to increase the reliability and accuracy of statistical modelling and data analysis. It is ideal for researchers, practitioners and graduate students of statistics, electrical, chemical and biochemical engineering, and computer vision. There is also much to benefit researchers from other sciences, such as biotechnology, who need to use robust statistical methods in their work."--Jacket.
588 _aMachine converted from AACR2 source record.
650 0 _aRobust statistics.
_9331596
700 1 _aMartin, R. Douglas,
_eauthor.
_91054524
700 1 _aYohai, Víctor J.,
_eauthor.
_91189986
830 0 _aWiley series in probability and statistics.
_9241467
907 _a.b14508448
_b06-09-21
_c19-11-15
942 _cB
945 _a519.5 MAR
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